CN115086692A

CN115086692A - User data display method, device, apparatus, storage medium and program product

Info

Publication number: CN115086692A
Application number: CN202111413553.6A
Authority: CN
Inventors: 付硕; 赵伊; 韩昊辰; 任梦莹; 田亚敏; 贾文慧
Original assignee: Beijing Dajia Internet Information Technology Co Ltd
Current assignee: Beijing Dajia Internet Information Technology Co Ltd
Priority date: 2021-11-25
Filing date: 2021-11-25
Publication date: 2022-09-20

Abstract

The application relates to a user data display method, equipment, a device, a storage medium and a program product. In the embodiment of the application, according to operation data of a first user on the application platform in different data dimensions generated in a specified time period, data labels corresponding to the different data dimensions can be determined, attributes of the user are divided from the different data dimensions, corresponding attribute labels are set, and different expression behaviors of the user on the application platform can be distinguished; by establishing the association relationship between the data tags and the attribute tags, when any data tag is triggered in response, trend information change chart information under the data dimension corresponding to the attribute tag associated with the triggered data tag can be displayed so as to reflect the change condition corresponding to the operation data of the first user under different data dimensions in a specified time period; the operator can intuitively know the performance behavior of the first user in the specified time period, the operation scheme corresponding to the first user can be rapidly determined, and the analysis cost is saved.

Description

User data display method, device, apparatus, storage medium and program product

Technical Field

The present application relates to the field of internet technologies, and in particular, to a method, an apparatus, a device, a storage medium, and a program product for displaying user data.

Background

Today, since media is commonly used, people can interact with other people through long and short videos, live broadcasts, forwarding, praise and the like, and in the process, operation data under different data dimensions are generated. For users who develop professions from a media platform, a reasonable operation scheme needs to be formulated, and therefore, an operator needs to analyze the performance behaviors of the users in different data dimensions according to historical operation data of the users on the media platform, so that the operation scheme is formulated in a targeted manner according to the different data dimensions.

However, the existing display mode of the operation platform for the operation data of the platform user is not intuitive, the cost for the operator to make the operation scheme for the platform user is high, and particularly for the platform user with a large number of fans, the operator is difficult to rapidly analyze the performance of the platform user from huge historical operation data, and the work difficulty is high.

Disclosure of Invention

The application provides a user data display method, equipment, a device, a storage medium and a program product, which are used for visually displaying trend change chart information corresponding to operation data of a user on an application platform so as to reduce the difficulty of analyzing the performance behaviors of the user on the platform by operators.

The embodiment of the application provides a user data display method, which comprises the following steps: the method comprises the steps of obtaining operation data of a first user under multiple data dimensions generated on an application platform in a specified time period, wherein the multiple data dimensions correspond to at least one data label, and the at least one data label supports interactive operation; associating the at least one data label with at least one attribute label corresponding to the first user, and displaying the basic information, the at least one data label and the at least one attribute label of the first user on an information interface corresponding to the first user; responding to the clicking operation of any data label, determining a target attribute label associated with the clicked data label and a target data dimension corresponding to the target attribute label, and generating trend change chart information corresponding to target operation data matched with the target attribute label in the target data dimension; and displaying the trend change chart information on an information interface corresponding to the first user.

In an optional embodiment, before the at least one data tag is displayed on the information interface corresponding to the first user, the method further includes: for each data dimension, determining the data grade of the first user in the data dimension by combining the full amount of data of the application platform in the data dimension in a specified period and the operation data of the first user in the data dimension generated on the application platform in the specified period.

In an optional embodiment, the displaying the at least one data tag on the information interface corresponding to the first user includes: respectively setting the visualization attribute of the at least one data label according to the data grade of the first user in at least one data dimension; displaying the at least one data label on an information interface corresponding to the first user according to the visual attribute of the at least one data label; wherein, the visualization attributes corresponding to different data levels are different.

In an optional embodiment, the respectively setting the visualization attribute of the at least one data tag according to the data rating of the first user in at least one data dimension includes: and determining at least one of font, font style, font size and color used by the data label corresponding to each data dimension as a visual attribute according to the data grade of the first user in at least one data dimension.

In an optional embodiment, displaying the at least one data tag on the information interface corresponding to the first user according to the visualization attribute of the at least one data tag includes: and displaying the at least one data label on an information interface corresponding to the first user according to at least one information of fonts, font styles, font sizes and colors used by the data label corresponding to each data dimension.

In an optional embodiment, after associating the at least one data tag with at least one attribute tag corresponding to the first user, the method further includes: and for each attribute label, if the number of the data labels associated with the attribute label is multiple and the data grades corresponding to the multiple data labels are different, generating the attribute value of the attribute label according to the operation data under the data dimension corresponding to the maximum data grade.

In an optional embodiment, the displaying the at least one attribute tag on the information interface corresponding to the first user includes: displaying the at least one attribute label and the attribute value corresponding to the at least one attribute label on an information interface corresponding to a first user; the data level corresponding to the data label refers to the data level of the first user in the data dimension corresponding to the data label.

In an optional embodiment, if the target operation data includes a plurality of kinds of operation data, generating trend change chart information corresponding to the target operation data adapted to the target attribute tag in the target data dimension includes: and respectively generating trend change chart information corresponding to each operation data aiming at each operation data in the target operation data.

An embodiment of the present application further provides a computer device, including: a display, a processor, and a memory storing a computer program; the display is used for displaying an information interface corresponding to a user on the application platform; the processor to execute the computer program to: the method comprises the steps of obtaining operation data of a first user under multiple data dimensions generated on an application platform in a specified time period, wherein the multiple data dimensions correspond to at least one data label, and the at least one data label supports interactive operation; associating the at least one data label with at least one attribute label corresponding to the first user, and displaying the basic information, the at least one data label and the at least one attribute label of the first user on an information interface corresponding to the first user; responding to the clicking operation of any data label, determining a target attribute label associated with the clicked data label and a target data dimension corresponding to the target attribute label, and generating trend change chart information corresponding to target operation data matched with the target attribute label in the target data dimension; and displaying the trend change chart information on an information interface corresponding to the first user.

An embodiment of the present application further provides a user data processing apparatus, including: the system comprises a data acquisition module, a first data processing module and a second data processing module; the data acquisition module is used for acquiring operation data under multiple data dimensions generated on an application platform by a first user in a specified time period, wherein the multiple data dimensions correspond to at least one data label, and the at least one data label supports interactive operation; the first data processing module is configured to associate the at least one data tag with at least one attribute tag corresponding to the first user, and display basic information of the first user, the at least one data tag, and the at least one attribute tag on an information interface corresponding to the first user; the second data processing module is used for determining a target attribute label associated with a clicked data label and a target data dimension corresponding to the target attribute label under the condition of responding to the clicking operation of any data label, and generating trend change chart information corresponding to target operation data matched with the target attribute label under the target data dimension; and displaying the trend change chart information on an information interface corresponding to the first user.

Embodiments of the present application also provide a computer-readable storage medium, where instructions of the computer-readable storage medium, when executed by a processor of a computer device, enable the computer device to perform the steps of the user data presentation method.

An embodiment of the present application further provides a computer program product, which includes a computer program/instruction, and the computer program/instruction, when executed by a processor, implements each step in the user data presentation method.

In the embodiment of the application, according to operation data of a first user on the application platform in different data dimensions generated in a specified time period, data labels corresponding to the different data dimensions can be determined, attributes of the user are divided from the different data dimensions, corresponding attribute labels are set, and different expression behaviors of the user on the application platform can be distinguished; further, an association relation between the data tags and the attribute tags is established, and under the condition that any data tag is triggered in response, trend information change chart information under the data dimension corresponding to the attribute tag associated with the triggered data tag can be displayed, wherein the displayed trend information change chart information reflects the change condition corresponding to the operation data of the first user under different data dimensions in a specified time period; based on the method, the operator can intuitively know the performance behavior of the first user in the specified time period, the operation scheme corresponding to the first user can be determined quickly, and the analysis cost is saved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application and are not to be construed as limiting the application.

Fig. 1a is a flowchart of a user data display method according to an embodiment of the present disclosure;

FIG. 1b is an interaction interface of a user information interface according to an embodiment of the present disclosure;

fig. 1c is a schematic diagram illustrating determining a data level corresponding to a user in a video dimension according to an embodiment of the present application;

fig. 1d is a schematic diagram illustrating that a data level corresponding to a user is determined in a live broadcast dimension according to an embodiment of the present application;

fig. 1e is a schematic diagram illustrating determination of a word size of a data tag under an activity level attribute tag according to an embodiment of the present application;

fig. 1f is a schematic diagram illustrating a correspondence relationship between a level of each attribute tag and a data tag name provided in an embodiment of the present application;

FIG. 2 is a schematic structural diagram of a computer device according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of a user data processing apparatus according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions of the present application better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

In order to solve the problem that user information is not displayed intuitively in an existing operation platform, the method for displaying the user data is suitable for the operation platform used by an operator, trend change chart information corresponding to historical operation data of the user on an application platform can be displayed intuitively, so that the operator can quickly analyze the performance behavior of the user in an appointed time period on the application platform according to the trend change chart information and appoint a corresponding operation scheme for the user according to the performance behavior.

Fig. 1a is a user data presentation method provided in an embodiment of the present application, and as shown in fig. 1a, the method includes:

s1, acquiring operation data of a first user in multiple data dimensions generated on an application platform in a specified time period, wherein the multiple data dimensions correspond to at least one data label, and the at least one data label supports interactive operation;

s2, associating the at least one data label with at least one attribute label corresponding to the first user, and displaying the basic information, the at least one data label and the at least one attribute label of the first user on an information interface corresponding to the first user;

s3, responding to the clicking operation of any data label, determining a target attribute label associated with the clicked data label and a target data dimension corresponding to the target attribute label, and generating trend change chart information corresponding to target operation data matched with the target attribute label in the target data dimension;

and S4, displaying the trend change chart information on the information interface corresponding to the first user.

On a self-media application platform, a series of actions of releasing long videos, short videos, live broadcasting, praise, forwarding, interacting with vermicelli and the like of a user can generate corresponding operation data. In the embodiment of the application, the operation data can be divided into different data dimensions according to different performance behaviors of the user, for example, the operation data corresponding to the performance behaviors such as long video, short video, live broadcast, praise, forwarding, interaction with fans and the like are respectively data dimensions with different data. For operators, the operation management platform can be used for managing the operation data generated by the users on the application platform under different data dimensions, and analyzing the performance behaviors of the users according to the operation data under each data dimension so as to make an operation scheme adaptive to the users.

Generally, users who need to be managed and make an operation plan by an operator are mostly stars, industry elite, or other bloggers and dawners, and in the embodiment of the present application, a user who needs to be managed and made an operation plan by an operator is referred to as a first user. Based on this, in order to determine the performance behavior of the first user, operation data of the first user in multiple data dimensions generated on the application platform in a specified time period may be acquired, so as to determine corresponding trend change chart information according to the acquired operation data. In the embodiment of the present application, the specific duration of the designated time period is not limited, for example, the designated time period may be operation data in a time period of a last week, a last month, or a last six weeks, and the designated time period may be different according to a difference in a field to which a user belongs or a difference in data dimensions of the operation data.

For example, for a star, the star often interacts with fans or shares the daily life, and if the activity of the star on an application platform is high, the operation data of the star in the last week or month can be acquired to determine the performance of the user; for another example, for a user of the lecture class, the time comparison rule of the teaching content or the interaction with fans is published on the application platform, and in order to determine the performance behavior of the user on the basis of a certain data volume, the operation data in a period of about six weeks or more can be acquired. For another example, for a certain class of users, the amount of operation data generated by the users in different data dimensions may be different, and for a live broadcast owner, the amount of data of long and short videos published by the users may be much smaller than the number of live videos; therefore, according to the difference of the data dimensions, the corresponding designated time periods for acquiring the operation data in each data dimension may also be different, and the specific duration is not limited herein.

In the embodiment of the application, the representation behaviors of the user on the application platform can be distinguished from different angles, and the corresponding attribute tags are defined for each type of table. For example, from the perspective of activity of the user on the application platform, the performance behavior of the user may be defined as an activity level, and correspondingly, the corresponding attribute tag is an activity level tag; optionally, the manner of measuring the activity level of the user may be the number of long, short videos or live videos released by the user in a specified time period, and if the number is larger, the user is more active, and the corresponding activity level is higher. For another example, from the perspective of auditing the works issued by the user, the performance behavior of the user may be defined as an audit level, and correspondingly, the corresponding attribute tag is an audit level tag; optionally, the mode of measuring the user audit level may be that the user issues a percentage that the audit in the work passes, or a percentage that is determined by the application platform as a high-quality work, and the like, and if the percentage is higher, the audit level is higher. For another example, from the perspective of how frequently the user interacts with the fan, the performance of the user may be defined as a traffic level, and correspondingly, the corresponding attribute tag is a traffic level tag; optionally, the manner of measuring the traffic level of the user may be that the user has a review reply amount, a private credit amount, and a forwarded or approved amount of the released works by the fans within a specified time period, and if the number is larger, the traffic level is higher.

It should be noted that, the above is only an exemplary illustration, and the manner for distinguishing the behavior of the user expressed on the application platform in the embodiment of the present application may include only the activity level, the audit level, and the traffic level, or may include more manners; correspondingly, there may be more corresponding attribute tags, and optionally, the attribute tags may be preset attribute tags, or may be dynamically generated according to a distinguishing manner, which is not limited herein. Further, the embodiment of the present application also does not limit the manner of measuring the user behavior in each distinguishing manner, and the manner of measuring the user behavior in different distinguishing manners may be different according to specific operation requirements.

In the embodiment of the application, the multiple data dimensions respectively have corresponding data tags, the data tags corresponding to the data dimensions support interactive operation on the interactive interface, and when operation data under the multiple data dimensions are acquired, at least one data tag corresponding to the multiple data dimensions and at least one attribute tag corresponding to a first user can be associated based on a mode of distinguishing user behaviors, and basic information, at least one data tag and at least one attribute tag of the first user are displayed on an information interface corresponding to the first user; the information interface corresponding to the first user is an interactive interface used for displaying user information in the operation platform. Fig. 1b is an alternative implementation of the information interface corresponding to the first user, and as shown in fig. 1b, the information interface corresponding to the first user may include 5 regions, which are a user basic information region 10, a data tag region 20, an attribute tag region 30, a trend change chart information region 40, and other information regions 50, respectively; the information displayed in the trend chart information area 40 is trend chart information corresponding to the operation data in the data dimension for measuring each attribute label.

As shown in fig. 1b, basic information of the first user, including but not limited to the first user's head portrait, user identification, number of fans, category of the first user, content type, form label, creation identification, said channel and operation affiliation, etc. is displayed in the user basic information area 10; the user identifier is used for uniquely identifying a first user Identity (ID) number on the application platform, and the creation identifier is an identifier corresponding to a work issued by the first user on the application platform, and may be, for example, an ID number or a name of the work; the belonging category, the content type, the form label and the channel are attribute information of the first user on the application platform, and are used for distinguishing the belonging category of the first user on the application platform from different angles, so that operators can manage and maintain the users conveniently; the operation belongs to a department or category to which an operator who performs operation management on the first user belongs. Of course, more user basic information may be included in the user basic information area 10, and the included user basic information may be different according to the first user type, and the information in the above example is only an exemplary illustration and is not limited thereto.

In the embodiment of the present application, an interactive operation mode supported by at least one data tag is not limited, and optionally, the interactive operation mode may be a click operation or a long-time press operation, and accordingly, the click operation may be a single click or a double click; further, the display mode of at least one data tag is not limited, and the display mode can be static display or dynamic display. Optionally, the supported interaction operation may also be different according to a different display mode of the at least one data tag, for example, the supported interaction operation is a click operation in a static display mode of the at least one data tag, and the supported interaction operation is a long-press operation in a dynamic display mode of the at least one data tag, which is not limited to this.

Optionally, taking an interactive operation supported by at least one data tag as a click operation as an example, in a case of responding to a click operation on any data tag, according to an association relationship between the at least one data tag and the at least one attribute tag and a correspondence relationship between each attribute tag and a plurality of data dimensions, a target attribute tag associated with the clicked data tag and a target data dimension corresponding to the target attribute tag may be determined, and then trend change chart information corresponding to target operation data adapted to the target attribute tag in the target data dimension may be generated, and the trend change chart information is displayed on an information interface corresponding to the first user, so that an operator determines an expression behavior of the first user based on the trend change chart information.

As shown in fig. 1b, taking the example that the user clicks the data tag as "short-term authoring secondary", it is assumed that the attribute tag associated with the "short-term authoring secondary" data tag is an activity level, and the corresponding data dimension includes a live dimension and a video dimension, where the video may be a long video and/or a short video, and is not limited herein. In response to the fact that the "short-term authoring secondary" data tag is clicked, it may be determined that the associated data tag is an activity level attribute tag, and that the data dimension corresponding to the activity level attribute tag is a live broadcast dimension and a video dimension, based on which, trend change chart information in the live broadcast dimension and trend change chart information in the video dimension to which the first user belongs in a specified time period may be generated, respectively, and the generated trend change chart information is displayed in the trend change chart information area 40. The trend change chart information under the live broadcast dimension is the trend change chart information corresponding to operation data generated by a first user in a specified time period; the trend change chart information under the video dimension is the trend change chart information corresponding to the operation data generated by the long and short videos released by the first user in the appointed time period.

It should be noted that the above is only an exemplary illustration, and the form of the trend change chart information displayed in the trend change chart information area 40 is not limited to a histogram, and optionally, the trend change chart information may also be a graph, a pie chart, or as shown in the trend change chart information corresponding to the live broadcast dimension in fig. 1b, or may also be a combination of a histogram and a graph, and the like, which is not limited herein. Further optionally, the display forms of the trend change chart information may also be different according to the characteristics of the operation data under different data dimensions; for example, for the attribute tag of the review grade, in order to compare the difference of the review grades between different types of works, the corresponding review result data of the different types of works in a specified time period can be respectively displayed in a coordinate system in a form of a graph, so that an operator can determine the difference of the review grades of the different works according to any time period. For another example, corresponding to the flow level label, in order to compare the proportions of vermicelli growth amount and vermicelli drop amount of the first user in a specified time period, the proportions corresponding to the vermicelli growth amount and the vermicelli drop amount respectively can be displayed in a form of a pie chart, so that an operator can determine the group or reason for the vermicelli drop of the first user according to the proportions.

In the embodiment of the present application, the attribute tag in the attribute tag area 30 is used to identify a summary situation corresponding to the user behavior of the first user within a specified time period. Optionally, the display mode of the attribute tag may be static display or dynamic display, and optionally, when the attribute tag is dynamic display, and when a data tag associated with any attribute tag is clicked, the attribute tag may be highlighted in the attribute tag area 30. For example, as shown in FIG. 1b, in the event that the "short authoring level two" data tab is clicked in response thereto, the activity level attribute tab associated therewith may be set forth in the attribute tab area 30, although not limited thereto; for example, the attribute tag associated with the clicked data tag may be highlighted in other manners such as highlighting, bolding, changing colors, flashing, and the like, and the specific presentation manner may be determined according to actual needs.

In the embodiment of the present application, the other information area 50 shows the avatar of the other user, and optionally, the avatar of the other user supports an interactive operation, for example, supports a single click, a double click or a long press, which is not limited herein. Further, under the condition that any user avatar is clicked, jumping to an information interface of a user corresponding to the clicked user avatar can be performed, so that operators can check detailed information of the user corresponding to the clicked user avatar; the user avatar corresponds to the data dimension corresponding to the attribute tag associated with the currently clicked data tag, and is used for identifying the performance behavior capability of the user corresponding to the user avatar under the corresponding data dimension.

Optionally, user avatars corresponding to different data dimensions are presented in different regions. For example, when the "short-term authoring secondary" data tag is clicked, the associated attribute tag is an activity level attribute tag, and the data dimensions of the activity level attribute tag pair are a live dimension and a video dimension, then there are areas corresponding to the user avatars of the live dimension and the video dimension, respectively, in the other information area 50. As shown in fig. 1b, the user avatar is divided into 3 areas from top to bottom in the other information area 50; the user avatar 2 area corresponds to the live broadcast dimension and the video dimension and represents users with a large number of live broadcasts issued on the application platform in a specified time period, and the user avatar 3 area corresponds to the video dimension and represents users with a large number of videos issued on the application platform in a specified time period. Further optionally, the user avatar shown in the user avatar 1 area may represent a user whose corresponding user is highlighted in terms of activity level, audit level and traffic level.

It should be noted that the above is only an exemplary illustration, and the number of the user avatar areas shown in the other information areas 50 may also be different according to the different data dimensions corresponding to the attribute tags associated with the clicked data tags, which is not limited herein. Further optionally, while the user avatar is displayed, related information of the user corresponding to the user avatar may be displayed, for example, a user name, the number of fans, the number of videos released, and the like of each user. Of course, the other information area 50 is not limited to displaying the user avatar, and the information displayed in the other information area 50 may be different according to the attribute tag associated with the clicked data tag. For example, when the "short-term flow secondary" data tag is clicked, the associated attribute tag is a flow level attribute tag, and if the data dimensions corresponding to the flow level attribute tag are a fan growth dimension and a fan drop dimension, the comparison information of the types of growing fans and dropped fans or the comparison information of the types of works causing fan growth or fan drop can be displayed in the other information area 50. For another example, when the "short-term review level" data tag is clicked, the associated attribute tag is a review level attribute tag, and if the data dimension corresponding to the review level attribute tag is a work type data dimension, the comparison information of the number of different types of works can be displayed in the other information area 50.

Based on the above, under the condition that operation data of the first user in multiple data dimensions generated on the application platform in a specified time period are acquired, and the corresponding data tags are determined according to the operation data in the multiple data dimensions, the multiple data tags can be displayed on the information interface corresponding to the first user in an uplink manner, so that an operator can check operation data trend change chart information corresponding to the first user under different attribute tags by triggering any one data tag, and the performance behavior of the first user is determined. Optionally, before at least one data tag is displayed on the information interface corresponding to the first user, for each data dimension, the data level of the first user in the data dimension may be determined by combining the full amount of data of the application platform in the data dimension in a specified time period and the operation data of the first user in the data dimension generated on the application platform in the specified time period.

Optionally, when determining the data level of the first user in each data dimension, a mean value of operation data amounts corresponding to all users in each data dimension on the application platform in a specified time period may be calculated, and the mean value may be respectively used as a standard data level in each data dimension in the specified time period. Further, determining a data volume range corresponding to each data grade under each data dimension according to a corresponding relation between a data volume floating range preset by each data dimension and the data grade, and further determining a data grade corresponding to each data dimension of the first user; the preset data volume floating range refers to a data volume range which can be changed upwards and downwards by taking the average value of the operation data volumes corresponding to the standard data grade under each data dimension as a reference.

Taking an example that the designated time period is nearly 6 weeks, a process of determining the data level of the first user (user king) in two data dimensions when the attribute tag is an activity level and the corresponding data dimension is a video dimension and a live dimension is described below with reference to fig. 1c and 1 d.

As shown in fig. 1c, assuming that a total of 383 videos were published by 4 users (including the user king) in the last 6 weeks, the average of the operation data in the video dimension in the last 6 weeks can be calculated to be 120; if the preset data volume floating range and the corresponding relationship between the data levels in the video dimension are changed for every 20 video increments or decrements, assuming that the video data dimension includes 5 data levels, as shown in fig. 1c, the average value of the operation data is 120, it can be determined that the data volume ranges corresponding to the data levels in the video dimension are respectively: the data volume range of the standard data level is 120, the data volume range of the higher data level is 120-. Alternatively, in order to distinguish different data levels, corresponding values may be set for different data levels, for example, as shown in fig. 1c, a value corresponding to a standard data level may be set to 0, a value corresponding to a higher data level may be set to 1, a value corresponding to a higher data level may be set to 2, a value corresponding to a lower data level may be set to-1, and a value corresponding to a lower data level may be set to-2. Further, according to the fact that the number of videos issued by the user king in nearly 6 weeks is 123, it can be determined that the data grade of the user king in the video data dimension is a higher data grade, and the corresponding numerical value is 1.

As shown in fig. 1d, assuming that a total of 222 live broadcast messages are issued by 4 users (including the user king) in nearly 6 weeks, an average value of operation data in the live broadcast dimension in nearly 6 weeks can be calculated as 60; if the corresponding relationship between the preset data volume floating range and the data level in the live broadcast dimension is that the data level is changed every 20 live broadcasts is increased or decreased, and it is assumed that the live broadcast data dimension includes 5 data levels, as shown in fig. 1d, the data volume ranges corresponding to the data levels in the live broadcast dimension can be determined as follows according to the mean value of the operation data being 60: the data amount range of the standard data level is 60, the data amount range of the higher level data level is 60-80, the data amount range of the higher level data level is greater than or equal to 80, the data amount range of the lower level data level is 40-60, and the data amount range of the lower level data level is less than or equal to 40. Alternatively, in order to distinguish different data levels, corresponding values may be set for different data levels, for example, as shown in fig. 1d, a value corresponding to a standard data level may be set to 0, a value corresponding to a higher data level may be set to 1, a value corresponding to a higher data level may be set to 2, a value corresponding to a lower data level may be set to-1, and a value corresponding to a lower data level may be set to-2. Further, according to the fact that the number of live broadcasts issued by the user king in nearly 6 weeks is 42, the data grade of the user king under the live broadcast data dimension can be determined to be a lower data grade, and the corresponding numerical value is-1.

Further, when determining the data levels respectively corresponding to the first user in the multiple data dimensions, respectively setting the visual attribute of at least one data tag according to the data levels of the first user in the multiple data dimensions, and displaying the at least one data tag on the information interface corresponding to the first user according to the visual attribute of the at least one data tag; wherein, the visualization attributes corresponding to different data levels are different. In the embodiment of the present application, the type of the visualization attribute of the data tag is not limited, and optionally, the type of the visualization attribute may include, but is not limited to, at least one information of a font, a font style, a font size, and a color corresponding to the data tag. Based on the above, when the data levels of the first user in multiple data dimensions are determined, according to the corresponding relationship between the data levels in each data dimension and the visual attributes of the data tags, at least one of the font, the font style, the font size and the color used by the data tags corresponding to each data dimension can be determined, and at least one of the data tags is displayed on the information interface corresponding to the first user according to at least one of the font, the font style, the font size and the color used by the data tags corresponding to each data dimension.

In the embodiment of the present application, the correspondence between the data level and the visualization attribute of the data tag in each data dimension is not limited. Optionally, fonts, colors, and fonts of data labels corresponding to different data levels in the same data dimension may be the same or different, and fonts, colors, and fonts of data labels corresponding to the same data level in different data dimensions may be the same or different. In order to distinguish different data levels, word sizes of data labels corresponding to different data levels in the same data dimension are different, and word sizes of data labels corresponding to the same data level in different data dimensions may be the same or different, which is not limited herein. Further optionally, the visualized information of the data tag may also be determined according to the association relationship between the attribute tag and the data tag, for example, the font, color, font style may be different between the data tags associated with different attribute tags, and so on.

It should be noted that, in the embodiment of the present application, the number and the manner of displaying the data tags in the data tag area 20 are not limited, and optionally, the data tags corresponding to each data dimension may be displayed in the data tag area 20 according to the corresponding relationship between the data dimension and the data tag (the above embodiment is described in this manner); or according to the corresponding relationship between each attribute tag and the data dimension, multiple data dimensions corresponding to each attribute tag may be displayed in the data tag area 20 as the same data tag, and the specific display mode may be determined according to actual needs.

Further, the embodiment of the present application does not limit the manner of determining the word size of the data tag, and optionally, different word sizes may be set for different data levels in each data dimension from the perspective of the data dimension and used as the word size of the data tag corresponding to each data level when the data tag corresponding to each data dimension is displayed in the data tag area 20; under the condition that a plurality of data dimensions corresponding to each attribute tag are displayed in the data tag area 20 by using the same data tag, determining the grade of each attribute tag according to the data grade respectively corresponding to the plurality of data dimensions corresponding to each attribute tag by the first user, and setting different word sizes for the data tag corresponding to each attribute tag according to the grade of each attribute tag; further optionally, when the data label corresponding to each data dimension is displayed in the data label area 20, the grade of each attribute label may also be determined according to the data grade corresponding to the first user in each of the multiple data dimensions corresponding to each attribute label, different word sizes may be set for the multiple data dimensions corresponding to each attribute label according to the grade of each attribute label, and the word sizes are used as the word sizes of the data labels corresponding to different data dimensions, and the specific setting mode may be determined according to actual requirements.

Optionally, taking the word size of the data tag determined according to the level of the attribute tag as an example, when determining the level of each attribute tag, a target data level may be determined as the data level of each attribute tag from data levels respectively corresponding to a plurality of data dimensions corresponding to each attribute tag by the first user. For example, in the above embodiment, the data level of the user king in the video dimension is 1 under the activity level attribute tag, and the data level of the user king in the live broadcast dimension is-1, then 1 or-1 may be selected as the level corresponding to the activity level attribute tag. Alternatively, in the case where any attribute tag corresponds to a plurality of data dimensions, the maximum data level corresponding to the first user in each data dimension may be used as the level of the attribute tag, and based on this, the level of the activity level attribute tag of the queen of the user may be determined to be 1. Secondly, according to a preset formula for solving the word size of the data label: s x [ G + (a-b) ÷ b ], solving the word size of the data label corresponding to the activity level attribute label of the user king; if the result is decimal, obtaining the target font size by adopting an upward rounding mode; wherein S is a basic font size, G is the grade of the target attribute label, a is an operation data value of the user in the target data dimension, and b is the average value of the operation data amount in the target data dimension. Based on this, as shown in fig. 1e, the word size of the data tag corresponding to the activity level attribute tag in approximately 6 weeks of the user queen is calculated as 15.

Further optionally, different attribute tag names may be set for the levels of each attribute tag, for example, in fig. 1e, the activity level attribute tags correspond to 5 levels, and the data tag names respectively adapted to the meaning of the levels may be set according to the levels from high to low, based on which, it may be determined that the data tag corresponding to the user queen under the activity level attribute tag is a short-term activity level, and the word size is 15. In this embodiment, the names of the data tags are not limited, and the names of the data tags are different according to the difference of the attribute tags, and fig. 1f exemplarily shows the names of the data tags corresponding to each level under 4 different types of attribute tags. Based on the above, when determining the level of each attribute label, the data label visualization attribute and name corresponding to each attribute label can be determined and displayed in the data label area 20.

In an alternative embodiment of the present application, an attribute value corresponding to each attribute tag may also be generated and displayed in the attribute tag area 30, so that an operator can intuitively know the profile information under each attribute tag. In this embodiment, the meaning of the attribute value of each attribute tag is not limited, and taking an activity level attribute tag as an example, the corresponding attribute value may be the number of videos or live broadcasts released by the first user in a specified time period, or the total number of the videos and the live broadcasts; taking the flow level attribute tag as an example, the corresponding attribute value may be the number of fans interacted by the first user in a specified time period, or any number or total number of comments, forwarding, praise and private letter sending to the first user; taking the audit level attribute tag as an example, the corresponding attribute value may be the number of approved works, or the number of high-quality works approved by the platform, and the like, which is not limited herein.

Optionally, under the condition that each attribute tag corresponds to multiple data dimensions, if the data grades corresponding to the multiple data dimensions are different, the attribute value of the attribute tag may be generated according to the operation data in the data dimension corresponding to the maximum data grade. As shown in fig. 1b, in the above embodiment, the activity level attribute tag of the user king corresponds to a video dimension and a live broadcast dimension, the data level of the video dimension is 1, and the data level of the live broadcast data dimension is-1, and then the operation data volume 123 corresponding to the video dimension is used as the attribute value of the activity level. Based on the attribute value, the operator can intuitively know the operation data general view of the user king under each attribute label according to each attribute value.

In the embodiment of the application, according to operation data of a first user on the application platform in different data dimensions generated in a specified time period, data labels corresponding to the different data dimensions can be determined, attributes of the user are divided from the different data dimensions, corresponding attribute labels are set, and different expression behaviors of the user on the application platform can be distinguished; further, an association relation between the data tags and the attribute tags is established, and under the condition that any data tag is triggered in response, trend information change chart information under the data dimension corresponding to the attribute tag associated with the triggered data tag can be displayed, wherein the displayed trend information change chart information reflects the change condition corresponding to the operation data of the first user under different data dimensions in a specified time period; based on this, the operator can intuitively know the performance behavior of the first user in the specified time period, which is helpful for quickly determining the operation scheme corresponding to the first user, and saves the analysis cost.

It should be noted that the execution subjects of the steps of the methods provided in the above embodiments may be the same device, or different devices may be used as the execution subjects of the methods. For example, the execution subjects of steps S1 to S4 may be device a; for another example, the execution subject of step S1 may be device a, and the execution subjects of steps S2 to S4 may be device B; and so on.

In addition, in some of the flows described in the above embodiments and the drawings, a plurality of operations occurring in a specific order are included, but it should be clearly understood that these operations may be executed out of the order they occur in the present document or in parallel, and the sequence numbers of the operations, such as S1, S2, etc., are merely used to distinguish various operations, and the sequence numbers themselves do not represent any execution order. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.

The embodiment of the application also provides computer equipment which can realize the user data display method. Fig. 2 is a schematic structural diagram of a computer device used by a processor according to an embodiment of the present application, and as shown in fig. 2, the computer device includes: a processor 21, a memory 22 in which computer programs are stored, and a display 23. The processor 21 and the memory 22 may be one or more of a display for displaying an information interface corresponding to a user on the application platform.

The memory 22 is mainly used for storing computer programs, which can be executed by the processor, so that the processor controls the processor 21 to implement corresponding functions and complete corresponding actions or tasks by using the computer device. In addition to storing computer programs, the memory may be configured to store other various data to support operations on the processor 21 using a computer device, examples of which include instructions for any application or method operating on the processor 21 using a computer device.

The memory 22, which may be implemented by any type of volatile or non-volatile memory device or combination thereof, may include, for example, a Static Random Access Memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a magnetic disk, or an optical disk.

In the embodiment of the present application, the implementation form of the processor 21 is not limited, and may be, for example, but not limited to, a CPU, a GPU, an MCU, or the like. The processor 21 may be seen as a control unit of the computer device, which is operable to execute a computer program stored in the memory 22 to control the computer device to implement the corresponding functions, to perform the corresponding actions or tasks. It should be noted that, according to the implementation form and the scene of the computer device, the functions, actions or tasks to be implemented may be different; accordingly, the computer programs stored in the memory 22 may vary, and execution of different computer programs by the processor 21 may control the computer device to perform different functions, perform different actions or tasks.

In some optional embodiments, as shown in fig. 2, the computer device may further include: communication components 24 and power components 25. Only some components are schematically shown in fig. 2, which does not mean that the computer device includes only the components shown in fig. 2, and the computer device may further include other components according to different application requirements, depending on the product form of the computer device.

In the embodiment of the present application, the processor 21 is configured to implement the steps of the user data presentation method described above when executing the computer program in the memory 22.

Accordingly, the present application further provides a computer-readable storage medium storing a computer program, where the computer program can implement the steps that can be executed by a computer device in the foregoing method embodiments when executed.

Accordingly, the present application further provides a computer program product, which includes a computer program/instruction, and when the computer program/instruction is executed by a processor, the steps in the foregoing method embodiments are implemented.

The embodiment of the application also provides a user data processing device. For example, the processing device may be implemented as a virtual device, such as an application program, in a Communications Control Unit (CCU). As shown in fig. 3, the user data processing apparatus includes a data acquisition module 301, a first data processing module 302, and a second data processing module 303; the data acquisition module 301 is configured to acquire operation data of a first user in multiple data dimensions generated on an application platform in a specified time period, where the multiple data dimensions correspond to at least one data tag, and the at least one data tag supports interactive operation; the first data processing module 302 is configured to associate at least one data tag with at least one attribute tag corresponding to a first user, and display basic information, the at least one data tag, and the at least one attribute tag of the first user on an information interface corresponding to the first user; the second data processing module 303 is configured to, in response to a click operation on any data tag, determine a target attribute tag associated with the clicked data tag and a target data dimension corresponding to the target attribute tag, and generate trend change chart information corresponding to target operation data adapted to the target attribute tag in the target data dimension; and displaying the trend change chart information on an information interface corresponding to the first user. It should be noted that, the specific manner of operations performed by the processor in the device embodiment and the modules in the apparatus embodiment have been described in detail in the method embodiment, and will not be described in detail here.

The communication component in the above embodiments is configured to facilitate communication between the device in which the communication component is located and other devices in a wired or wireless manner. The device where the communication component is located can access a wireless network based on a communication standard, such as a WiFi, a 2G, 3G, 4G/LTE, 5G and other mobile communication networks, or a combination thereof. In an exemplary embodiment, the communication component receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

The display in the above embodiments includes a screen, which may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.

The power supply assembly of the above embodiments provides power to various components of the device in which the power supply assembly is located. The power components may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device in which the power component is located.

The audio component in the above embodiments may be configured to output and/or input an audio signal. For example, the audio component includes a Microphone (MIC) configured to receive an external audio signal when the device in which the audio component is located is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in a memory or transmitted via a communication component. In some embodiments, the audio assembly further comprises a speaker for outputting audio signals.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It will be understood that the present application is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. A user data presentation method, comprising:

the method comprises the steps of obtaining operation data of a first user under multiple data dimensions generated on an application platform in a specified time period, wherein the multiple data dimensions correspond to at least one data label, and the at least one data label supports interactive operation;

associating the at least one data label with at least one attribute label corresponding to the first user, and displaying the basic information, the at least one data label and the at least one attribute label of the first user on an information interface corresponding to the first user;

responding to the click operation of any data label, determining a target attribute label associated with the clicked data label and a target data dimension corresponding to the target attribute label, and generating trend change chart information corresponding to target operation data matched with the target attribute label in the target data dimension; and

and displaying the trend change chart information on an information interface corresponding to the first user.

2. The method of claim 1, further comprising, prior to presenting the at least one data tab on an information interface corresponding to the first user:

for each data dimension, determining the data grade of the first user in the data dimension by combining the full amount of data of the application platform in the data dimension in a specified period and the operation data of the first user in the data dimension generated on the application platform in the specified period.

3. The method of claim 2, wherein presenting the at least one data tag on an information interface corresponding to the first user comprises:

respectively setting the visualization attribute of the at least one data label according to the data grade of the first user in at least one data dimension; and

displaying the at least one data label on an information interface corresponding to the first user according to the visual attribute of the at least one data label; the visualization attributes corresponding to different data levels are different.

4. The method of claim 2, wherein associating the at least one data tag with at least one attribute tag corresponding to the first user further comprises:

and for each attribute label, if the number of the data labels associated with the attribute label is multiple and the data grades corresponding to the multiple data labels are different, generating the attribute value of the attribute label according to the operation data under the data dimension corresponding to the maximum data grade.

5. The method of claim 4, wherein presenting the at least one property tab on an information interface corresponding to the first user comprises:

displaying the at least one attribute label and the attribute value corresponding to the at least one attribute label on an information interface corresponding to a first user; the data level corresponding to the data label refers to the data level of the first user in the data dimension corresponding to the data label.

6. The method according to any one of claims 1 to 5, wherein the target operation data includes a plurality of kinds of operation data, and generating trend change chart information corresponding to the target operation data adapted to the target attribute tag in the target data dimension includes:

and respectively generating trend change chart information corresponding to each operation data aiming at each operation data in the target operation data.

7. A computer device, comprising: a display, a processor, and a memory storing a computer program; the display is used for displaying an information interface corresponding to a user on the application platform;

the processor to execute the computer program to:

responding to the clicking operation of any data label, determining a target attribute label associated with the clicked data label and a target data dimension corresponding to the target attribute label, and generating trend change chart information corresponding to target operation data matched with the target attribute label in the target data dimension; and displaying the trend change chart information on an information interface corresponding to the first user.

8. A user data processing apparatus, comprising: the system comprises a data acquisition module, a first data processing module and a second data processing module;

the data acquisition module is used for acquiring operation data of a first user in multiple data dimensions generated on an application platform in a specified time period, wherein the multiple data dimensions correspond to at least one data label, and the at least one data label supports interactive operation;

the first data processing module is configured to associate the at least one data tag with at least one attribute tag corresponding to the first user, and display basic information of the first user, the at least one data tag, and the at least one attribute tag on an information interface corresponding to the first user;

the second data processing module is used for determining a target attribute label associated with a clicked data label and a target data dimension corresponding to the target attribute label under the condition of responding to the clicking operation of any data label, and generating trend change chart information corresponding to target operation data matched with the target attribute label under the target data dimension; and displaying the trend change chart information on an information interface corresponding to the first user.

9. A computer-readable storage medium, wherein instructions in the computer-readable storage medium, when executed by a processor of a computer device, enable the computer device to perform the user data presentation method of any one of claims 1-6.

10. A computer program product comprising computer programs/instructions, characterized in that the computer programs/instructions, when executed by a processor, implement the user data presentation method of any one of claims 1-6.